Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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A B C DRB1 DPA1 DPB1 DQA1 DQB1

Population:  Country:  Source of dataset : 
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Sample Size:      Sample Year:     Loci Tested: 
Displaying 301 to 400 (from 646) records   Pages: 1 2 3 4 5 6 7 of 7  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 301  A*24-B*15:01-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.1214824
 302  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Filipino 0.120950,614
 303  A*11-B*15:01-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 304  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Tlaxcala Rural 0.1205830
 305  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Caribean Black 0.120233,328
 306  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 307  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Nuevo Leon Rural 0.1136439
 308  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*19:01  Russia Karelia 0.11261,075
 309  A*02:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11251,075
 310  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02-DPB1*04:01  Russia Karelia 0.11211,075
 311  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African American pop 2 0.1098416,581
 312  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.10811,075
 313  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Oaxaca Rural 0.1027485
 314  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.10073,456,066
 315  A*31:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.10003,078
 316  A*03:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.09931,510
 317  A*24:02:01-B*15:01:01-C*04:01:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.09511,734
 318  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.09441,075
 319  A*02:01-B*15:01-C*01:02-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.09401,999
 320  A*24-B*15:01-DRB1*04-DQB1*03:02  Mexico Veracruz Rural 0.0924539
 321  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Mexican or Chicano 0.0923261,235
 322  A*03:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.089523,595
 323  A*24:02-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.08901,772
 324  A*24:07-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  USA Asian pop 2 0.08901,772
 325  A*31:01-B*15:01-C*03:03-DRB1*04:06-DQB1*03:02  USA Asian pop 2 0.08901,772
 326  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 327  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.08702,411
 328  A*03:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.08601,075
 329  A*01-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 330  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco Rural 0.0853585
 331  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP Hispanic South or Central American 0.0851146,714
 332  A*02:01-B*15:01-C*01:02-DRB1*04:07-DQB1*03:02  Colombia Bogotá Cord Blood 0.08461,463
 333  A*02:01-B*15:01-C*03:04-DRB1*04:01-DRB4*01:01-DQB1*03:02  USA NMDP African 0.084628,557
 334  A*11:01-B*15:01-C*04:01-DRB1*04:06-DRB4*01:01-DQB1*03:02  USA NMDP Southeast Asian 0.084627,978
 335  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Russia Karelia 0.08381,075
 336  A*32-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla, Puebla city 0.07521,994
 337  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Turkey minority 0.07104,856
 338  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.07043,456,066
 339  A*01:01-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*04:01  Sri Lanka Colombo 0.0700714
 340  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQA1*03:01-DQB1*03:02-DPB1*02:01  Sri Lanka Colombo 0.0700714
 341  A*03:01-B*15:01-C*07:02-DRB1*04:01-DQA1*03:01-DQB1*03:02-DPB1*04:02  Sri Lanka Colombo 0.0700714
 342  A*02:06-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 343  A*02:06-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*02:02-DPB1*05:01  Japan pop 17 0.07003,078
 344  A*11:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*04:02  Japan pop 17 0.07003,078
 345  A*26:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 346  A*31:01-B*15:01-C*04:01-DRB1*04:06-DQA1*03:01-DQB1*03:02-DPA1*01:03-DPB1*02:01  Japan pop 17 0.07003,078
 347  A*01:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Germany DKMS - German donors 0.06883,456,066
 348  A*31-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 349  A*68-B*15:01-DRB1*04-DQB1*03:02  Mexico Mexico City North 0.0664751
 350  A*24:02:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 351  A*68:01:02:02-B*15:01:01:01-C*03:04:01:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.06621,510
 352  A*01:01:01-B*15:01:01-C*03:04:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.064923,595
 353  A*11:01-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.06352,492
 354  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*04:02  Germany DKMS - German donors 0.06093,456,066
 355  A*03-B*15:01-DRB1*04-DQB1*03:02  Ecuador Andes Mixed Ancestry 0.0607824
 356  A*01-B*15:01-DRB1*04-DQB1*03:02  Mexico Puebla Rural 0.0600833
 357  A*11:01:01-B*15:01:01-C*01:02:01-DRB1*04:06:01-DQB1*03:02:01  China Zhejiang Han 0.05771,734
 358  A*02:01-B*15:01-C*07:04-DRB1*04:01-DQB1*03:02-DPB1*04:01  Russia Karelia 0.05651,075
 359  A*26:01-B*15:01-C*01:02-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05651,075
 360  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*09:01  Russia Karelia 0.05651,075
 361  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*20:01  Russia Karelia 0.05651,075
 362  A*24:02-B*15:01-C*03:03-DRB1*04:02-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05651,075
 363  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Russia Karelia 0.05651,075
 364  A*01:01-B*15:01-C*04:01-DRB1*04:04-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05641,075
 365  A*24:02-B*15:01-C*06:02-DRB1*04:01-DQB1*03:02-DPB1*02:01  Russia Karelia 0.05641,075
 366  A*30:01-B*15:01-C*03:03-DRB1*04:02-DQB1*03:02-DPB1*04:02  Russia Karelia 0.05641,075
 367  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.05403,456,066
 368  A*11:01-B*15:01-C*04:25-DRB1*04:05-DQB1*03:02  Malaysia Peninsular Malay 0.0526951
 369  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India South UCBB 0.052311,446
 370  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India West UCBB 0.05155,829
 371  A*01:01-B*15:01-C*03:03-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 372  A*02:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 373  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 374  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 375  A*24:02-B*15:01-C*04:01-DRB1*04:02-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 376  A*31:01-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 377  A*31:01-B*15:01-C*04:01-DRB1*04:07-DQB1*03:02  USA Hispanic pop 2 0.04701,999
 378  A*02:01:01:01-B*15:01:01-C*04:01:01-DRB1*04:04:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.04661,510
 379  A*02:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02-DPB1*02:01  Germany DKMS - German donors 0.04583,456,066
 380  A*02:42-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA Asian pop 2 0.04401,772
 381  A*23:01-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 382  A*23:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 383  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 384  A*25:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 385  A*30:02-B*15:01-C*01:02-DRB1*04:01-DQB1*03:02  USA African American pop 4 0.04402,411
 386  A*02:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 387  A*02:17-B*15:01-C*01:02-DRB1*04:04-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 388  A*03:01-B*15:01-C*03:03-DRB1*04:02-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 389  A*11:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 390  A*24:02-B*15:01-C*03:03-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 391  A*68:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 392  A*69:01-B*15:01-C*04:01-DRB1*04:03-DQB1*03:02  Germany DKMS - Italy minority 0.04301,159
 393  A*03-B*15:01-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.04261,173
 394  A*31-B*15:01-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.04261,173
 395  A*68-B*15:01-DRB1*04-DQB1*03:02  Ecuador Mixed Ancestry 0.04261,173
 396  A*02:06-B*15:01-C*03:03-DRB1*04:03-DQB1*03:02  India Tamil Nadu 0.04222,492
 397  A*01-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 398  A*11-B*15:01-DRB1*04-DQB1*03:02  Mexico Jalisco, Guadalajara city 0.04191,189
 399  A*03:01-B*15:01-C*03:04-DRB1*04:01-DQB1*03:02-DPB1*03:01  Germany DKMS - German donors 0.04153,456,066
 400  A*24:02-B*15:01-C*04:01-DRB1*04:06-DQB1*03:02  India East UCBB 0.04092,403

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).


Displaying 301 to 400 (from 646) records   Pages: 1 2 3 4 5 6 7 of 7  


   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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